Triple
T8213806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andy Warhol Foundation for the Visual Arts |
E191885
|
entity |
| Predicate | hasEndowmentSource |
P9503
|
FINISHED |
| Object | Andy Warhol’s estate |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Andy Warhol’s estate | Statement: [Andy Warhol Foundation for the Visual Arts, hasEndowmentSource, Andy Warhol’s estate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEndowmentSource Context triple: [Andy Warhol Foundation for the Visual Arts, hasEndowmentSource, Andy Warhol’s estate]
-
A.
hasEndowmentType
Indicates that an entity is associated with a particular category or type of endowment.
-
B.
hasWealthSource
chosen
Indicates that an entity derives its wealth or financial resources from a specified source.
-
C.
hasOriginalEndowmentPurpose
Indicates that an entity’s original endowment is intended or designated to serve a specific purpose or function.
-
D.
hasTrustFund
Indicates that an entity possesses or benefits from a trust fund established to hold and manage assets for them.
-
E.
endowment
Indicates that a resource, asset, or benefit is provided or allocated to an entity, typically as a lasting or dedicated funding source.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca82c8c054819087fedd9a5436b8a3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb76e1ffa081908883338e7d3a7c6d |
completed | March 31, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69cb36ad01ac81909609b15f6a6c8581 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:44 p.m.